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Apprentice Generative Ai Engineer Jobs in Austin, TX

MDAEdge is a company focusing on innovative AI solutions, and they are seeking a Generative AI Engineer. The role involves developing efficient pipelines for document processing and creating scalable ...

Senior Generative AI Engineer

Austin, TX · On-site

$54.75 - $70.50/hr

C. is seeking a Senior Generative AI Engineer to join their Apple Content Solutions Team. The role involves developing and maintaining AI-driven automation solutions while leveraging large language ...

They are seeking a GenAI Developer to drive the design and deployment of generative AI systems, collaborating with various teams to ensure solutions are reliable and compliant with governance ...

Generative AI & Large Language Models (LLMs) * Strong Java & Python Development * AI-Driven ... Prompt Engineering & LLM Orchestration * LLM Evaluation Frameworks & Responsible AI Practices

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Generative AI Developer

Austin, TX · On-site

$104K - $152K/yr

Your Opportunity We are seeking a GenAI Developer to drive the design, maturation, and enterprise deployment of generative AI and agentic AI systems within Stantec's Digital Center of Excellence ...

Generative AI Developer

Austin, TX · On-site

$104K - $152K/yr

Your Opportunity We are seeking a GenAI Developer to drive the design, maturation, and enterprise deployment of generative AI and agentic AI systems within Stantec's Digital Center of Excellence ...

Lead Generative AI Data Engineer III

Austin, TX · On-site

$101K - $133K/yr

Share this job: Share: Share Lead Generative AI Data Engineer III with Facebook Share Lead Generative AI Data Engineer III with LinkedIn Share Lead Generative AI Data Engineer III with Twitter ...

Design, build, and support AI-powered applications using LLMs, generative AI platforms, and agentic ... Establish engineering standards, conduct code reviews, and mentor team members. * Lead AI model ...

Senior AI Engineer

Austin, TX

$121K - $160K/yr

Senior AI Engineer Introduction to the Team Expedia Group B2B empowers partners to deliver ... Stay current with advancements in Generative AI, Agentic AI, and intelligent automation ...

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Apprentice Generative Ai Engineer information

See Austin, TX salary details

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How much do apprentice generative ai engineer jobs pay per hour?

As of Aug 10, 2026, the average hourly pay for apprentice generative ai engineer in Austin, TX is $18.23, according to ZipRecruiter salary data. Most workers in this role earn between $14.52 and $21.68 per hour, depending on experience, location, and employer.

What is the difference between Apprentice Generative Ai Engineer vs Junior Data Scientist?

AspectApprentice Generative Ai EngineerJunior Data Scientist
Required CredentialsBasic understanding of AI, programming, and machine learning fundamentalsBachelor's degree in Data Science, Computer Science, or related field
Work EnvironmentHands-on training in AI development teams, often in tech companies or startupsData analysis, modeling, and reporting in various industries
Employer & Industry UsageTech companies focusing on AI products, research labs, startupsFinance, healthcare, marketing, and other data-driven sectors

The Apprentice Generative Ai Engineer role is focused on gaining practical experience in AI development, often with mentorship, while a Junior Data Scientist typically handles data analysis and modeling tasks. Both roles require foundational knowledge, but the Apprentice role emphasizes learning and skill development in generative AI technologies.

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Generative AI Engineer

MDAEdge

Austin, TX • On-site

Full-time

Re-posted 19 days ago


Job description

Job Summary:
MDAEdge is a company focusing on innovative AI solutions, and they are seeking a Generative AI Engineer. The role involves developing efficient pipelines for document processing and creating scalable AI applications while collaborating with architects and developers.
Responsibilities:
• Develop pipelines to parse documents, chunk, vectorise, and store vector data.
• Design schemas for vector stores to optimise retrieval efficiency.
• Create prompt templates using advanced prompt engineering techniques.
• Implement few-shot prompting strategies for improved LLM interactions.
• Develop semantic agents and interfaces for seamless agent collaboration.
• Build microservices and expose them as APIs for scalable solutions.
• Work closely with architects and full-stack developers to deliver AI solutions.
• Apply best practices for data management and model deployment.
• Ensure scalability and performance of generative AI applications.
Qualifications:
Required:
• Designed and developed scalable generative AI platforms for enterprise use cases.
• Built end-to-end pipelines for document parsing, chunking, vectorisation, and storage in vector databases like FAISS, Pinecone, and Chroma.
• Created and optimised vector store schemas for efficient semantic retrieval.
• Developed prompt templates using few-shot and zero-shot prompting techniques.
• Engineered semantic agents and built interfaces for agent collaboration in LLM workflows.
• Built and deployed microservices exposing LLM capabilities through scalable APIs.
Company:
The world doesn't have a talent shortage. It has a talent alignment problem. MDA Edge exists to fix that. Founded in , the company is headquartered in Sheridan, WY, US, , with a team of 51-200 employees. The company is currently Growth Stage.